Docker

Test an R-based AWS lambda function locally before deploying to the cloud

Creating AWS Lambda functions from R code can be a powerful way to make our local R code available in the cloud as an on-demand serverless service. In recent weeks I’ve been working on my package r2lambda to build and deploy AWS Lambda functions from the R console.

Last updated on 2023-02-19 3 min read AWS, R

Using {stevedore} to manage docker-based variant-calling pipelines from R

Docker-based variant-calling pipelines Encapsulating large and complex software applications or packages in docker images makes sense for many reasons. Not least because of a one-line install protocol (i.e., docker pull) that takes care of the plethora of dependencies that many of these packages have.

Last updated on 2023-02-15 8 min read R, Bioinformatics

Deploy an R script as an AWS Lambda function without leaving the R console

Overview and motivation AWS Lambda is a serverless compute service that lets us deploy any code as a cloud function without worrying about setting up a compute server (for example like discussed here and here).

Last updated on 2023-02-19 10 min read R, AWS